BERTScoreVisualizer: A Web Tool for Understanding Simplified Text Evaluation with BERTScore
원문 초록
The BERTScore metric is commonly used to evaluate automatic text simplification systems. However, current implementations of the metric fail to provide complete visibility into all information the metric can produce. Notably, the specific token matchings can be incredibly useful in generating clause-level insight into the quality of simplified text. We address this by introducing BERTScoreVisualizer, a web application that goes beyond reporting precision, recall, and F1 score and provides a visualization of the matching between tokens. We believe that our software can help improve the analysis of text simplification systems by specifically showing where generated, simplified text deviates from reference text. We host our code and demo on GitHub.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport
Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked Data
Automatic Input Rewriting Improves Translation with Large Language Models
Aligning Sentence Simplification with ESL Learner's Proficiency for Language Acquisition
SiTSE: Sinhala Text Simplification Dataset and Evaluation
Two-Pronged Human Evaluation of ChatGPT Self-Correction in Radiology Report Simplification
토론
이 논문과 연결된 포럼 글이 아직 없습니다.